{"id":"https://openalex.org/W4382196409","doi":"https://doi.org/10.9798/kosham.2023.23.3.147","title":"A Neural Network Model to Estimate the Clogging of Ash Mixed Sand Filter","display_name":"A Neural Network Model to Estimate the Clogging of Ash Mixed Sand Filter","publication_year":2023,"publication_date":"2023-06-27","ids":{"openalex":"https://openalex.org/W4382196409","doi":"https://doi.org/10.9798/kosham.2023.23.3.147"},"language":"en","primary_location":{"id":"doi:10.9798/kosham.2023.23.3.147","doi":"https://doi.org/10.9798/kosham.2023.23.3.147","is_oa":true,"landing_page_url":"http://dx.doi.org/10.9798/kosham.2023.23.3.147","pdf_url":"http://www.j-kosham.or.kr/upload/pdf/KOSHAM-2023-23-3-147.pdf","source":{"id":"https://openalex.org/S4210204355","display_name":"Korean Society of Hazard Mitigation","issn_l":"1598-2238","issn":["1598-2238","1738-2424","2287-6723"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["kci-registered"],"host_organization":"https://openalex.org/P4324113240","host_organization_name":"Korean Society of Hazard Mitigation","host_organization_lineage":["https://openalex.org/P4324113240"],"host_organization_lineage_names":["Korean Society of Hazard Mitigation"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Korean Society of Hazard Mitigation","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.j-kosham.or.kr/upload/pdf/KOSHAM-2023-23-3-147.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026109543","display_name":"Byungsik Lee","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Byungsik Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5026109543"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04554313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":"3","first_page":"147","last_page":"153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11119","display_name":"Urban Stormwater Management Solutions","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11119","display_name":"Urban Stormwater Management Solutions","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.007499999832361937,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10716","display_name":"Soil and Unsaturated Flow","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/filter-clogging","display_name":"filter clogging","score":0.8299999833106995},{"id":"https://openalex.org/keywords/low-impact-development","display_name":"low impact development","score":0.8090000152587891},{"id":"https://openalex.org/keywords/neural-network-regression","display_name":"neural network regression","score":0.8650000095367432},{"id":"https://openalex.org/keywords/infiltration-rate","display_name":"infiltration rate","score":0.8050000071525574},{"id":"https://openalex.org/keywords/filter-maintenance","display_name":"filter maintenance","score":0.5249999761581421}],"concepts":[{"id":"https://openalex.org/C2778152828","wikidata":"https://www.wikidata.org/wiki/Q488656","display_name":"Clogging","level":2,"score":0.9877152442932129},{"id":"https://openalex.org/C153400128","wikidata":"https://www.wikidata.org/wiki/Q3150731","display_name":"Infiltration (HVAC)","level":2,"score":0.8381439447402954},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5166943073272705},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.458373099565506},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.399813711643219},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37123993039131165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3575555086135864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2927801012992859},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2859649360179901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21534687280654907},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.10466384887695312},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.9798/kosham.2023.23.3.147","doi":"https://doi.org/10.9798/kosham.2023.23.3.147","is_oa":true,"landing_page_url":"http://dx.doi.org/10.9798/kosham.2023.23.3.147","pdf_url":"http://www.j-kosham.or.kr/upload/pdf/KOSHAM-2023-23-3-147.pdf","source":{"id":"https://openalex.org/S4210204355","display_name":"Korean Society of Hazard Mitigation","issn_l":"1598-2238","issn":["1598-2238","1738-2424","2287-6723"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["kci-registered"],"host_organization":"https://openalex.org/P4324113240","host_organization_name":"Korean Society of Hazard Mitigation","host_organization_lineage":["https://openalex.org/P4324113240"],"host_organization_lineage_names":["Korean Society of Hazard Mitigation"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Korean Society of Hazard Mitigation","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.9798/kosham.2023.23.3.147","doi":"https://doi.org/10.9798/kosham.2023.23.3.147","is_oa":true,"landing_page_url":"http://dx.doi.org/10.9798/kosham.2023.23.3.147","pdf_url":"http://www.j-kosham.or.kr/upload/pdf/KOSHAM-2023-23-3-147.pdf","source":{"id":"https://openalex.org/S4210204355","display_name":"Korean Society of Hazard Mitigation","issn_l":"1598-2238","issn":["1598-2238","1738-2424","2287-6723"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["kci-registered"],"host_organization":"https://openalex.org/P4324113240","host_organization_name":"Korean Society of Hazard Mitigation","host_organization_lineage":["https://openalex.org/P4324113240"],"host_organization_lineage_names":["Korean Society of Hazard Mitigation"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Korean Society of Hazard Mitigation","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.8999999761581421}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382196409.pdf","grobid_xml":"https://content.openalex.org/works/W4382196409.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1982922021","https://openalex.org/W2033172007","https://openalex.org/W2036405561","https://openalex.org/W2036661249","https://openalex.org/W2101234009","https://openalex.org/W2569172958","https://openalex.org/W2887678480","https://openalex.org/W2915755087","https://openalex.org/W2997920388","https://openalex.org/W3197912533","https://openalex.org/W3204326378","https://openalex.org/W3210840222","https://openalex.org/W4231521944"],"related_works":["https://openalex.org/W3197912533","https://openalex.org/W2301416481","https://openalex.org/W7024270423","https://openalex.org/W2915755087","https://openalex.org/W2807692053","https://openalex.org/W2249049103","https://openalex.org/W2887678480","https://openalex.org/W1164591369","https://openalex.org/W3204326378","https://openalex.org/W1999726620"],"abstract_inverted_index":{"Infiltration":[0],"filters":[1,20],"of":[2,10,17,28,53,80,91,95,113,127,159,164],"LID":[3,18],"facilities":[4],"are":[5,196],"frequently":[6],"confronted":[7],"with":[8],"clogging":[9,33,149,177],"pores":[11],"by":[12,36],"contaminants.":[13],"To":[14,49],"avoid":[15],"malfunctioning":[16],"facilities,":[19],"should":[21],"be":[22,120,143],"maintained":[23],"according":[24,122],"to":[25,62,69,84,119,123,145],"the":[26,39,51,64,70,85,89,96,101,105,111,114,132,139,170,176,185],"degree":[27,52],"clogging.":[29],"In":[30],"this":[31],"study,":[32],"was":[34,60,117,187],"characterized":[35],"curves":[37,150],"representing":[38],"correlation":[40],"between":[41],"infiltration":[42,46,76,81,165],"rate":[43],"(Q)":[44],"and":[45,78,93,129,134,156],"quantity":[47],"(IR).":[48],"estimate":[50,63,146,175],"clogging,":[54],"a":[55,190],"regression":[56],"neural":[57],"network":[58],"model":[59,98,116,141,172,186,192,195],"developed":[61],"label":[65],"(infiltration":[66],"quantity)":[67],"corresponding":[68],"selected":[71],"features":[72],"(ash":[73],"mix":[74],"ratio,":[75],"rate,":[77],"variation":[79],"rate).":[82],"According":[83],"results":[86],"obtained":[87],"from":[88],"evaluation":[90],"accuracy":[92],"applicability":[94],"final":[97,115,140,171],"trained":[99,157],"over":[100],"whole":[102],"training":[103,112,133],"dataset,":[104],"following":[106],"conclusions":[107],"were":[108],"drawn:":[109],"1)":[110],"verified":[118],"correct":[121],"mean":[124],"absolute":[125],"errors":[126],"0.00445":[128],"0.00491":[130],"for":[131,151,179,183],"test":[135],"datasets,":[136],"respectively;":[137],"2)":[138],"could":[142,173],"applied":[144],"multiple,":[147],"multivariate":[148],"arbitrary":[152],"ash":[153],"mixing":[154],"ratios":[155],"range":[158],"time":[160,181],"series":[161],"in":[162],"terms":[163],"rate;":[166],"3)":[167],"given":[168],"that":[169],"not":[174,188],"curve":[178],"future":[180],"steps":[182],"which":[184],"trained,":[189],"CNN":[191],"or":[193],"LSTM-RNN":[194],"suggested":[197],"as":[198],"an":[199],"alternative.":[200]},"counts_by_year":[],"updated_date":"2026-09-06T09:10:53.072986","created_date":"2023-06-28T00:00:00"}